GigabatchDev

GigabatchDev — CS2 Stats

76561198981565745[U:1:1021300017]Steam profile ↗✓ No bans

406Tracked matches54%Win rate2020Tracked since
924Hours in CS
CSDB Rating6.8 SolidClutch Specialist
Premier CS Rating14,835Blue band · top ~29.3% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Sep 2026 (25 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 14,835 +2,379 14 Aug – 27 Sept · 24 days played
12,10514,835peak 14,83514 Aug27 Sept
14,835Peak Premier in tracked matches
36Days played since 2026-08-08

Premier CS Rating

  • At peak — 14,835
  • +419 over 30 days · improving
  • Next: Purple band at 15,000 — 165 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-16
  • Light Blue band first seen 2026-09-16

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,185), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate54.0%44.8%45.7%above
Shot accuracy17.7%12.4%12.7%above
Kill/death ratio1.181.031.05above
Match win rate33.4%45.2%45.7%12.2% short

This profile matches the typical Level 7 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGGigabatchDevFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER14,835 · Blue bandcsdb.gg/stats

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Performance scores

Aim89
Positioning69
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY50–42–8Last 10050%Win rateLWLLWWLWTW

Last 10 vs previous 10: 0pp win rate · +0.04 avg rating · +4.5pp headshot accuracy · +23ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 24%
  • Avg reaction 617ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 31%
  • Avg reaction 557ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 29%
  • Avg reaction 546ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+3.3 against its own average).

Aim8.9
Utility4.7
Positioning6.9
Opening Duels5.4
Clutch10.0

Sharp aimerReliable in 1v1s

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

donk

Plays most like donk 93% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning profile; lower utility contribution.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.4° off target when enemies appear — placement, not flicking, is the bigger win available.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 551ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim8.9
Positioning6.9
Utility4.7
Mechanics8.0
Opening Duels5.9
Win Impact6.2

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05+0.03
first ⅓ avg 0.02 → last ⅓ avg 0.05
Reaction time543ms+7ms
first ⅓ avg 536ms → last ⅓ avg 543ms
Headshot accuracy32.1%+4.8%
first ⅓ avg 27.3% → last ⅓ avg 32.1%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.23Best match rating · 13–7 · inferno, 4 Oct →
60%Best headshot accuracy · 5–3 · shelter, 9 Aug →
406msFastest reaction time · 5–13 · cache, 6 Sept →
13–1Biggest win · anubis, 19 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–8In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 71% over 7ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB178–947%0.04
dust2A149–564%0.04
nukeC114–736%0.05
cacheA95–456%0.05
infernoA85–363%0.09
anubisS75–271%0.05
officeD72–529%0.00
shelterA74–357%-0.00
ancientD61–517%0.03
boulder—31–233%0.03
italy—32–167%0.04
overpass—21–150%-0.01
vertigo—21–150%0.00
eldorado—21–150%0.09
debris—11–0100%0.14
fachwerk—10–10%0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

59,757Lifetime kills
1.18K/D · Top 25% of Level 6 players
2,907Matches
33.4%Match win rate
54.0%Headshot % · Top 25% of Level 6 players
17.7%Shot accuracy · Top 25% of Level 6 players
6,742MVPs
924Hours (in match)
1,978Bombs planted
536Bombs defused

Most-used weapons

AK-4720,609
AWP7,008
SSG 081,351
SG 5531,278
MP91,058
P250962

Lifetime map wins

3,620dust2
2,810nuke
1,150inferno
615vertigo
393train
300cbble
177lake
151office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

159Matches
60%Win rate
1.46Avg K/D
73.7ADR
54%Headshot %

Clutches & streaks

75%1v1 clutch win
33%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Dust2367%1.3521.7
Nuke250%1.2013.5
Inferno2100%1.1614.0
Mirage2100%2.7617.5
Ancient1100%0.649.0
Vertigo1100%1.1919.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

32.4%Headshot accuracy
35.9%Accuracy (enemy spotted)
36.7%Spray accuracy
86.0%Counter-strafing
10.4°Preaim
551msReaction time
49.5%T opening success
57.4%CT opening success
0.55Enemies flashed / flash
7.5%Flash assists
2.99HE damage / grenade
14.57Flashes / match

Recommended for you

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust25–130.0314%8 Oct →
anubis13–90.0722%8 Oct →
cache5–130.0322%8 Oct →
office3–13-0.0435%8 Oct →
dust213–110.0530%4 Oct →
inferno13–70.2354%4 Oct →
nuke2–13-0.0730%3 Oct →
dust213–70.1439%27 Sept →
inferno8–80.0924%27 Sept →
nuke9–30.0843%26 Sept →
overpass6–9-0.0925%26 Sept →
vertigo3–13-0.0636%26 Sept →
mirage13–60.0733%21 Sept →
anubis13–10.1318%19 Sept →
anubis13–90.0317%19 Sept →
anubis4–130.0327%19 Sept →
ancient11–13-0.0438%19 Sept →
mirage13–60.0219%18 Sept →
nuke11–130.0132%17 Sept →
cache13–100.1024%17 Sept →
mirage13–70.0533%17 Sept →
nuke13–90.1029%14 Sept →
inferno13–100.0621%14 Sept →
mirage15–150.0742%14 Sept →
mirage6–130.0138%13 Sept →
nuke7–13-0.0537%13 Sept →
dust213–110.0125%13 Sept →
nuke12–12-0.0448%13 Sept →
nuke5–130.0732%13 Sept →
nuke13–100.1158%13 Sept →
mirage13–60.1640%12 Sept →
inferno8–80.1546%12 Sept →
cache8–130.0232%12 Sept →
dust210–130.0739%12 Sept →
nuke13–60.1026%11 Sept →
dust210–130.0622%10 Sept →
nuke14–160.0828%10 Sept →
mirage13–80.0637%7 Sept →
cache5–13-0.0530%6 Sept →
mirage5–13-0.0622%6 Sept →
mirage13–40.0345%6 Sept →
nuke7–130.1448%6 Sept →
mirage10–130.0328%5 Sept →
dust213–60.0612%4 Sept →
eldorado3–90.0117%30 Aug →
debris9–60.1428%30 Aug →
overpass9–60.0715%30 Aug →
dust213–40.0318%29 Aug →
cache10–13-0.0324%29 Aug →
mirage5–130.0315%29 Aug →
ancient11–130.0727%28 Aug →
mirage12–120.1533%28 Aug →
cache13–100.1127%28 Aug →
mirage10–70.0518%28 Aug →
inferno13–30.1321%26 Aug →
anubis13–100.0318%26 Aug →
dust211–130.1110%25 Aug →
mirage15–150.0116%25 Aug →
ancient5–130.0321%25 Aug →
ancient12–160.0316%25 Aug →
inferno10–130.0119%25 Aug →
eldorado9–40.1623%25 Aug →
cache13–90.0822%23 Aug →
cache13–20.1853%23 Aug →
inferno13–90.1021%23 Aug →
ancient10–130.0036%23 Aug →
dust213–7-0.0526%23 Aug →
dust22–130.0320%23 Aug →
mirage11–13-0.0120%23 Aug →
office13–10.0436%22 Aug →
inferno8–2-0.0225%22 Aug →
office7–130.0823%22 Aug →
anubis13–70.0525%22 Aug →
ancient13–110.0732%21 Aug →
vertigo13–80.0727%21 Aug →
dust213–100.0116%21 Aug →
anubis6–130.0218%20 Aug →
office3–13-0.109%20 Aug →
office13–8-0.0325%19 Aug →
cache13–30.0335%19 Aug →
mirage13–90.0224%17 Aug →
dust213–60.0135%17 Aug →
dust213–90.0538%16 Aug →
mirage8–130.0412%14 Aug →
shelter11–6-0.0411%13 Aug →
shelter11–13-0.0329%13 Aug →
shelter13–10-0.0529%13 Aug →
office9–130.0219%12 Aug →
boulder13–11-0.0124%12 Aug →
shelter5–13-0.0343%11 Aug →
fachwerk9–130.0622%11 Aug →
italy6–2-0.0433%11 Aug →
boulder12–120.0127%11 Aug →
italy11–130.0422%11 Aug →
italy13–110.1238%9 Aug →
shelter5–3-0.0160%9 Aug →
shelter13–110.0435%9 Aug →
office10–130.0431%9 Aug →
shelter10–130.1034%8 Aug →
boulder12–120.0824%8 Aug →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.